Chinese Journal of Ship Research, Volume. 19, Issue 5, 95(2024)
Ship crack detection method based on lightweight fast convolution and bidirectional weighted feature fusion network
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Table 1. Results of ablation experiment
View tableView in ArticleTable 1. Results of ablation experiment
实验 SConv GSConv C3_Faster BiFPN-S CBAM P/% R/% GFLOPs Best.pt /MB 1 √ − − − − 87.1 89.7 16.6 14.3 2 − √ − − − 88.1 89.9 15.4 13.5 3 √ − √ − − 88.2 88.8 13.4 12.2 4 √ − − √ − 90.5 86.8 16.6 14.6 5 √ − − − √ 90.9 90.4 16.6 14.4 6 − √ − − √ 87.4 90.0 15.5 13.6 7 √ − √ − √ 88.2 87.1 12.9 12.0 8 √ − − √ √ 91.7 92.2 16.6 14.0 9 − √ √ − − 87.5 89.5 13.0 11.7 10 √ − √ √ − 88.6 88.1 13.4 12.2 11 − √ − √ − 88.5 90.1 14.0 12.1 12 − √ √ √ − 88.3 89.9 15.4 13.5 13 − √ − √ √ 88.8 88.1 14.9 13.6 14 − √ √ − √ 87.8 88.7 13.1 12.9 15 √ − √ √ √ 86.6 87.2 13.5 12.3 16 − √ √ √ √ 94.1 93.5 13.6 12.2
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Chong WANG, Yuhui ZHU. Ship crack detection method based on lightweight fast convolution and bidirectional weighted feature fusion network[J]. Chinese Journal of Ship Research, 2024, 19(5): 95
Paper Information
Category: Ship Structure and Fittings
Received: Jun. 7, 2023
Accepted: --
Published Online: Mar. 14, 2025
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